Talentify.io
Quantitative Research Analyst - Remote
Talentify.io, Little Ferry, New Jersey, us, 07643
Employer Industry:
Financial Services
Why Consider This Job Opportunity:Salary up to $300,000Opportunity for career advancement and growth within the organizationWork remotely, in person, or in a hybrid work environmentCompetitive bonus structureComprehensive health, dental plans, and 401(k) contributionsCollaborative and inclusive work environmentWhat To Expect (Job Responsibilities):Develop and implement automated statistical trading models using analytical and quantitative skillsParticipate in research and trading model development, including data analysis and implementationUtilize regression, time series analysis, and statistical techniquesBuild, organize, and analyze large data setsComprehend and synthesize academic literature in finance, economics, and statisticsWhat Is Required (Qualifications):Bachelor's or advanced degree in economics, finance, statistics, mathematics, or computer scienceProficiency in programming languages such as R, C++, and/or PythonStrong knowledge of regression, time series analysis, and statistical techniquesExperience in building, organizing, and analyzing large data setsFinancial market interest and ability to communicate complex concepts effectivelyHow To Stand Out (Preferred Qualifications):0-2 years of experience in financial services or related fieldKnowledge of machine learning techniquesFamiliarity with algorithmic trading strategies
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Financial Services
Why Consider This Job Opportunity:Salary up to $300,000Opportunity for career advancement and growth within the organizationWork remotely, in person, or in a hybrid work environmentCompetitive bonus structureComprehensive health, dental plans, and 401(k) contributionsCollaborative and inclusive work environmentWhat To Expect (Job Responsibilities):Develop and implement automated statistical trading models using analytical and quantitative skillsParticipate in research and trading model development, including data analysis and implementationUtilize regression, time series analysis, and statistical techniquesBuild, organize, and analyze large data setsComprehend and synthesize academic literature in finance, economics, and statisticsWhat Is Required (Qualifications):Bachelor's or advanced degree in economics, finance, statistics, mathematics, or computer scienceProficiency in programming languages such as R, C++, and/or PythonStrong knowledge of regression, time series analysis, and statistical techniquesExperience in building, organizing, and analyzing large data setsFinancial market interest and ability to communicate complex concepts effectivelyHow To Stand Out (Preferred Qualifications):0-2 years of experience in financial services or related fieldKnowledge of machine learning techniquesFamiliarity with algorithmic trading strategies
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